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BioMed Central, Genome Biology, 12(9), p. R179

DOI: 10.1186/gb-2008-9-12-r179

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KEGG spider: interpretation of genomics data in the context of the global gene metabolic network

Journal article published in 2008 by Alexey V. Antonov, Sabine Dietmann, Hans W. Mewes ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Abstract KEGG spider is a web-based tool for interpretation of experimentally derived gene lists in order to gain understanding of metabolism variations at a genomic level. KEGG spider implements a 'pathway-free' framework that overcomes a major bottleneck of enrichment analyses: it provides global models uniting genes from different metabolic pathways. Analyzing a number of experimentally derived gene lists, we demonstrate that KEGG spider provides deeper insights into metabolism variations in comparison to existing methods.